Scientific Big Data Analytics by HPC - Expression of Interest

The importance of data analytics, management, sharing and preservation of very big, often heterogeneous or distributed data sets from experiments, observations and simulations - besides the basic technical requirements transfer and storage - is of increasing significance for science, research and industry. This development has been recognized by many research institutions among them leading HPC centres. They want to advance their support for researchers and engineers using Scientific Big Data Analytics (SBDA) by HPC.

The John von Neumann Institute for Computing (NIC) invites Expressions of Interest (EoI) for SBDA projects using HPC to identify and analyse the needs of the scientific communities. The goal is to extend and optimize the HPC and data infrastructures and services in order to provide optimal methodological support.

Expressions of Interest should be submitted to nic@fz-juelich.de before Friday, 27 February 2015.
Further information: Scientific Big Data Analytics by HPC - Expression of Interest
(Contact: Dr. Walter Nadler, nic@fz-juelich.de)